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|InfoQ's podcasts are interviews with the software architects, senior engineers, and team leaders who build and operate production systems. Episodes work through the tradeoffs behind real decisions in software architecture, AI and ML engineering, and engineering culture. Guests are practitioners and QCon speakers describing what worked and what broke in systems they built.
Interviews with the software architects and senior engineers who build and run production systems. Each episode works through the tradeoffs behind a real decision in architecture, AI engineering, and development.
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Andy Damevin, a developer who worked on Quarkus for almost a decade, talks about Roq, a project that started as an experiment to try to see if it’s possible to build a static web site generator on top of quarkus. He touches on the rationale for choosing Java and Quarkus, how to migrate to Roq, and the platform's future.
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In this podcast, Jaromir Hamala, a seasoned Java engineer specialising in high-throughput data systems, shares his thoughts on how developers can tackle high-performance software development. He touches on the benefits of modern Java that allow writing idiomatic Java code while remaining "mechanically sympathetic", and also on his experience debugging a Linux kernel bug.
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In this podcast, Michael Stiefel spoke to Matthew Liste about building and managing software platforms. Platform services act as the basis for application development, and must always be stable, secure, and scalable. Scaling these systems is particularly difficult because unknown resource contention often causes them to break.
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Viktor Peterson, part of the CISA task force working on SBOM blueprints and co-founder of sbomify, explores the shifting landscape of software supply chain security as the EU's Cyber Resilience Act (CRA) comes into force, a "GDPR moment" for the industry.
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In this episode, Thomas Betts and Adi Polak talk about the need for context engineering when interacting with LLMs and designing agentic systems. Prompt engineering techniques work with a stateless approach, while context engineering allows AI systems to be stateful.
Conversations on building intentional engineering culture: team dynamics, leadership, and software management. For engineering leaders, managers, and the developers they support.
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In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Trisha Ballakur about transitioning from coder to startup CEO, balancing technical leadership with business development, and avoiding burnout on the journey.
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In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Nick Gillian about building cross-functional teams for physical AI innovation, growing engineering culture through positive tensions, and navigating the journey from technical execution to organizational influence.
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In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Gonzalo (Glo) Maldonado about the central role of engineering culture, measuring team health through qualitative metrics, and learning from other engineering disciplines.
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In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Gilad Shoham about building effective mentorship relationships, leading fully distributed teams and the evolving role of developers in an AI-augmented future.
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In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Richard Bown about transitioning from management back to individual contributor roles, leading from any position, and creating humane engineering organizations.
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